DOI

The study is aimed at investigating the formation of acoustic features of speech in typically developing (TD) Russian-speaking children. The purpose of the study is to describe the dynamics of the temporal and spectral characteristics of the words of 5–16 years old children depending on their gender and age. The decrease of stressed and unstressed vowels duration from child’s words to the age of 13 years is revealed. Pitch values of vowels from words significantly decrease to the age of 14 years in girls and to the age of 16 years in boys. Pitch values of vowels from girls’ words are higher vs. corresponding features from boys’ words. Differences in the pitch values and vowel articulation index in boys and girls in different ages are shown. The obtained data on the acoustic features of the speech of TD children can be used as a normative basis in artificial intelligence systems for teaching children, for creating alternative communication systems for children with atypical development, for automatic recognition of child speech.

Язык оригиналаанглийский
Название основной публикацииArtificial Intelligence and Natural Language - 7th International Conference, AINL 2018, Proceedings
РедакторыLidia Pivovarova, Andrey Filchenkov, Jan Zizka, Dmitry Ustalov
ИздательSpringer Nature
Страницы152-163
Число страниц12
ISBN (печатное издание)9783030012038
DOI
СостояниеОпубликовано - 1 янв 2018
Событие7th International Conference Artificial Intelligence and Natural Language, AINL 2018 - St. Petersburg, Российская Федерация
Продолжительность: 17 окт 201819 окт 2018

Серия публикаций

НазваниеCommunications in Computer and Information Science
Том930
ISSN (печатное издание)1865-0929

конференция

конференция7th International Conference Artificial Intelligence and Natural Language, AINL 2018
Страна/TерриторияРоссийская Федерация
ГородSt. Petersburg
Период17/10/1819/10/18

    Предметные области Scopus

  • Компьютерные науки (все)
  • Математика (все)

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